LLMs are helping retailers enhance customer interactions, assisting pharma companies in analyzing clinical trial data, and enabling banks to streamline compliance and financial reporting — so why not use them to make IT ticket management smarter and faster? Slow resolutions, repetitive back-and-forths, and rigid workflows take a toll on both users and IT teams. We partnered with clients to explore LLMs for more intuitive and efficient ticketing. Here’s what we observed: - 20% of tickets resolved via automated self-service - ~95% accuracy of results across different modules - Faster resolution of critical and priority tickets In our latest story, Rajesh Dash explains how LLMs enhance 4 key processes in the ticket lifecycle and the Tiger Analytics approach to LLMs for ITSM: https://lnkd.in/gKzTguwf #GenAI #ITSM #LLMs #ServiceManagement #IntelligentAutomation
Interesting read Rajesh!
Data Science with Artificial intelligence Python || Data analysis || Data Visualisation || SQL|| Machine learning || Deep learning || Microsoft Azure || NLP || MBA
6dThanks for sharing